IDEAS home Printed from https://ideas.repec.org/a/ids/ijbisy/v5y2010i1p84-101.html
   My bibliography  Save this article

An integrated multivariate approach for optimisation of IT/IS investment in conventional power plants

Author

Listed:
  • A. Azadeh
  • A. Keramati
  • M. Jafari Songhori

Abstract

Several organisations are seeking to determine the impact of Information Technology (IT)/Information Systems (IS) investments on their performance measures. Industrial units such as power plants are not exempt from this issue. This paper presents an integrated multivariate approach for assessment and optimisation of IT/IS investment in conventional power plants. The Data Envelopment Analysis (DEA) approach is used to assess the IT/IS investment impacts on the performance of power plants. Furthermore, Principal Component Analysis (PCA) is used to verify and validate the findings of the DEA approach. IT/IS budget, number of IT/IS employees and number of PCs are used as input variables and total power generation and load factor are used as output variables. The proposed approach is applied to eight power plants and its advantages are discussed. This is the first study that presents a practical tool for policy making and optimisation with respect to IT/IS investment in conventional power plants.

Suggested Citation

  • A. Azadeh & A. Keramati & M. Jafari Songhori, 2010. "An integrated multivariate approach for optimisation of IT/IS investment in conventional power plants," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 5(1), pages 84-101.
  • Handle: RePEc:ids:ijbisy:v:5:y:2010:i:1:p:84-101
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=29481
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Babar Khalid & Ahmed Imran Hunjra, 2017. "Measuring the Validity of the Instrument of Information Asymmetry, Accounting Information, Personal Values, Investment Satisfaction and Investor Decision: An Empirical Analysis of Pakistani Stock Exch," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 3(2), pages 6-22, December.
    2. Babar Khalid & Ahmed Imran Hunjra, 2015. "Measuring the Validity of the Instrument of Information Asymmetry, Accounting Information, Personal Values, Investment Satisfaction and Investor Decision: An Empirical Analysis of Pakistani Stock Exch," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 1(1), pages 36-54, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijbisy:v:5:y:2010:i:1:p:84-101. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=172 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.